The dataset is collected via crowdsourcing by leveraging WikiTableQuestions (WTQ) [1]}, which contains highly compositional questions associated with HTML tables from Wikipedia. Each crowdsourcing task contains a long, complex question originally from WTQ as the question intent. The workers are asked to compose a sequence of simpler questions that lead to the final intent; an example of this process is shown in Figure REF  (Left). Each sequence forms a dialog session. The dataset consists of 2,022 sessions with an average of 2.9 questions per session.
